Creative Chaos

Data Engineer

• We are seeking a highly skilled Data Engineer with extensive experience in Azure Data Lake to contribute to our dynamic team at Creative Chaos. The ideal candidate will be responsible for architecting, developing, and optimizing data pipelines that will facilitate the efficient processing of large datasets.
• **Responsibilities:**
• - Designing and implementing robust data pipeline solutions within Azure Data Lake.
• - Integrating and transforming data from various sources to enable comprehensive analytics and reporting.
• - Ensuring data quality and integrity, implementing data governance practices.
• - Collaborating with cross-functional teams to understand data requirements and develop scalable solutions.
• - Monitoring and optimizing data processing workflows for performance and reliability.
• - Documenting processes and architecture to ensure maintainability and scalability.
• - Staying abreast of new Azure technologies and best practices for data engineering.

Infrastructure Engineer

• **Job Summary: **
• We are hiring a Lead Infrastructure & Cloud Engineer with a strong Wintel infrastructure foundation and current, hands-on capability in modern cloud infrastructure across Azure (primary) and AWS. This role exists to close a capability gap: we have deep on-prem expertise, and we need a leader who can define and drive modern cloud standards, guide technical direction, and uplift the team.
• You’ll operate as a technical lead with an architecture mindset: creating reference designs, setting guardrails, making pragmatic trade-offs (security, resilience, cost), and leading delivery across infrastructure and hybrid cloud. This is not a DevOps role, you will collaborate with DevOps and engineers, but your focus is infrastructure/platform, governance, reliability, and technical leadership.
• **Job Responsibilities:**
• **Cloud & Hybrid Architecture (Azure & AWS)**
• - Own the target-state hybrid cloud architecture and roadmap (12–24 months), aligning security, resilience, and cost requirements.
• - Define reference architectures and standards: landing zones, network patterns, identity patterns, logging/monitoring, backup/DR, and environment separation.
• - Lead design and implementation of secure cloud networking: VNets/VPCs, routing, VPN, ExpressRoute/Direct Connect, Private Link/Endpoints, load balancers, WAF where needed.
• - Own cloud governance foundations: subscriptions/accounts, management groups, RBAC, naming/tagging, logging, budgets and policy guardrails.
• **Modern Cloud Operations (Hands-on Leadership)**
• - Ensure cloud platforms, services, and workloads remain on supported, secure versions; implement drift detection and lifecycle management.
• - Establish platform observability: Azure Monitor/Log Analytics/App Insights, CloudWatch, OpenTelemetry where used; improve alert quality and operational readiness.
• - Build and maintain backup/DR posture with tested RTO/RPO, runbooks, and regular restore/DR exercises.
• - Drive FinOps discipline: cost allocation, tagging compliance, rightsizing, reservations/savings plans, and cost anomaly detection.
• **Security, Governance & Incident Readiness**
• - Ensure security controls are in place and effective (least privilege, secure baselines, encryption, key management, vulnerability/patch posture).
• - Log & telemetry onboarding: own onboarding of data/log sources and integration with the SIEM (e.g., Microsoft Sentinel/Splunk) in partnership with Security.
• - Lead incident response for infrastructure/cloud events: triage, investigation, reporting, RCA, and implementation of preventative controls and guardrails.
• - Manage, document, and audit configuration changes; champion “repeatable by design” changes and reduce configuration drift.
• **Wintel & Core Infrastructure Leadership**
• - Provide technical leadership across core infrastructure services: Windows Server, AD DS, DNS/DHCP, certificates/PKI, and integration with Entra ID.
• - Guide virtualisation/storage teams (VMware/Hyper-V, SAN/storage) towards cloud-aligned standards for resilience, security, and lifecycle.
• **Leadership and Uplift**
• - Act as the technical authority for infrastructure and hybrid cloud lead technical decisions and drive outcomes.
• - Mentor and upskill engineers on modern cloud infrastructure practices; run knowledge sessions and codify standards into reusable patterns.
• - Provide input during design and architectural discussions with DevOps and software teams; unblock delivery with clear, pragmatic guidance.

Lead Cloud Infrastructure Engineer – Azure, AWS

AI Engineer

• Stand up and run squads (Discovery → Prototype → Product → Platform & SRE).
• Design and ship RAG/agent systems: pick models (e.g., Anthropic Claude, OpenAI, Google, or open-weights like Llama/Mistral), define tools/functions, and choose retrieval (default Postgres + pgvector, scale to Weaviate/Qdrant/Pinecone when needed).
• Operate AI safely: evals & guardrails, structured outputs (JSON/Schema), PII redaction, refusal policies, cost/latency budgets, and LLM observability.
• Own delivery outcomes: SLOs, quality, cost, velocity; release with feature flags and canaries.
• Be client-facing: discovery, scoping, SoW, roadmap, QBRs.
• Hire/coach Tech Leads, EMs, and PMs; level up practices.

Data Engineer

Lead Cloud Infrastructure Engineer – Azure, AWS

AI Architect